CariGANs -- drawing caricatured faces, like those street artists around Times Square. goes in reverse too. very cute idea (╹◡╹)凸 https://t.co/iuNL6i1ujA pic.twitter.com/TtXutnJZ0z
— Gene Kogan (@genekogan) November 22, 2018
CariGANs -- drawing caricatured faces, like those street artists around Times Square. goes in reverse too. very cute idea (╹◡╹)凸 https://t.co/iuNL6i1ujA pic.twitter.com/TtXutnJZ0z
— Gene Kogan (@genekogan) November 22, 2018
DeOldify - A Deep Learning based project for colorizing and restoring old images. https://t.co/dBRcdfMeU4 #python #deeplearning #images pic.twitter.com/bu8zC9yyBd
— Python Weekly (@PythonWeekly) November 19, 2018
Okay, this is very cool. https://t.co/5lxUelZ25B
— Hilary Mason (@hmason) November 18, 2018
The BigGAN generators from our paper https://t.co/QUYlE9IBsE are now available on TF Hub (https://t.co/GHM9pIgQPw). Try the Colab demo at: https://t.co/Ynyb9T9AAD
— DeepMind (@DeepMindAI) November 12, 2018
Nice collection of image-to-image papers, including various convnets/GANs etc. in supervised and unsupervised settings: https://t.co/OxfjChpKeW
— Sebastian Raschka (@rasbt) November 4, 2018
The discriminator often knows something about the data distribution that the generator didn't manage to capture. By using rejection sampling, it's possible to knock out a lot of bad samples. https://t.co/J1KHhgKfca
— Ian Goodfellow (@goodfellow_ian) October 17, 2018
“Recycle-GAN”: Unsupervised Video Retargeting. Translation from John Oliver to Stephen Colbert, and a synthesized flower follows the blooming process with the input flower. Website has more video demos demonstrating video retargeting for faces and flowers: https://t.co/yv0WANiY5d pic.twitter.com/XDA5bWzK1S
— hardmaru (@hardmaru) October 12, 2018
We have fun with WGAN in https://t.co/aQsW5afov6, and I challenge students to try to get something working that's even better. Some nice results here from a student using SAGAN+D2GAN+SNGAN, showing a "woman->man" latent space :)https://t.co/2BjWF4HH01 pic.twitter.com/JdBgj9zFh5
— Jeremy Howard (@jeremyphoward) September 30, 2018
Generative fashion design 👕👚 https://t.co/4SEqVj7zBD
— hardmaru (@hardmaru) August 31, 2018
Investigation of GAN mode collapse revealed that datasets mode collapse too https://t.co/6QMDYw7W5S
— Ian Goodfellow (@goodfellow_ian) August 29, 2018
So this portrait produced by a poorly-trained GAN will fetch $10K+ at Christie's.
— hardmaru (@hardmaru) August 27, 2018
I like the signature at the bottom:
𝒎𝒊𝒏 𝑮 𝒎𝒂𝒙 𝑫 𝔼𝒙 [𝒍𝒐𝒈 𝑫 (𝒙))] + 𝔼𝒛 [𝒍𝒐𝒈(𝟏 − 𝑫(𝑮(𝒛)))] pic.twitter.com/IXWREEzlZh
Try out @NvidiaAI 's Vid2Vid project for photorealistic video-to-video translation, synthesizing label maps to realistic videos, people talking from edge maps, or generating human motions from poses
— PyTorch (@PyTorch) August 23, 2018
Now supports the latest PyTorch v0.4.1:https://t.co/vafmr7XQsf pic.twitter.com/XVu0vGQnLr